The field of cellular neuroscience continues to reveal the intricate regulation of neural and glial cell function by water and ion channels, transporters, ...

Neurons placed inside engineered living bodies built from frog cells self-organize, become active, and reshape movement ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

A study introduces a scalable 2D human neuron platform to probe how brain-like rhythms emerge and how specific drugs reshape them, aiding epilepsy and autism research.

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...